Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment

There are severe geographical disparities in pupil-teacher ratios (PTR) across Malawi, with most teachers concentrated near commercial centers and in rural schools with better amenities. Most of the variation in PTR is concentrated in small sub-dis...

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Main Authors: Asim, Salman, Chimombo, Joseph, Chugunov, Dmitry, Gera, Ravinder
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2017
Subjects:
Online Access:http://documents.worldbank.org/curated/en/286131511361864175/Moving-teachers-to-Malawis-remote-communities-a-data-driven-approach-to-teacher-deployment
http://hdl.handle.net/10986/28914
id okr-10986-28914
recordtype oai_dc
spelling okr-10986-289142021-06-08T14:42:47Z Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment Asim, Salman Chimombo, Joseph Chugunov, Dmitry Gera, Ravinder RURAL SCHOOLS REMOTE COMMUNITIES TEACHER DEPLOYMENT POLITICAL ECONOMY PUPIL-TEACHER RATIOS EDUCATION MANAGEMENT There are severe geographical disparities in pupil-teacher ratios (PTR) across Malawi, with most teachers concentrated near commercial centers and in rural schools with better amenities. Most of the variation in PTR is concentrated in small sub-district areas, suggesting a central role for micro-geographic factors in teacher distribution. Employing administrative data from several government sources, regression analysis reveals that school-level factors identified by teachers as desirable are closely associated with PTR, including access to roads, electricity, and water, and distance to the nearest trading center, suggesting a central role for teachers' interests in PTR variation. Political economy network mapping reveals that teachers leverage informal networks and political patronage to resist placement in remote schools, while administrative officials are unable to stand up to these formal and informal pressures, in part because of a lack of reliable databases and objective criteria for the allocation of teachers. This study curates a systematic database of the physical placement of all teachers in Malawi and links it with data on school facilities and geo-spatial coordinates of commercial centers. The study develops a consistent and objective measure of school remoteness, which can be applied to develop policies to create rules for equitable deployments and targeting of incentives. Growing awareness of disparities in PTRs among district education officials is already showing promising improvements in targeting of new teachers. Simulation results of planned policy applications show significant potential impacts of fiscally-neutral approaches to targeted deployments of new cohorts, as well as retention of teachers through data-calibrated incentives. 2017-11-30T22:31:37Z 2017-11-30T22:31:37Z 2017-11 Working Paper http://documents.worldbank.org/curated/en/286131511361864175/Moving-teachers-to-Malawis-remote-communities-a-data-driven-approach-to-teacher-deployment http://hdl.handle.net/10986/28914 English Policy Research Working Paper;No. 8253 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Africa Malawi
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language English
topic RURAL SCHOOLS
REMOTE COMMUNITIES
TEACHER DEPLOYMENT
POLITICAL ECONOMY
PUPIL-TEACHER RATIOS
EDUCATION MANAGEMENT
spellingShingle RURAL SCHOOLS
REMOTE COMMUNITIES
TEACHER DEPLOYMENT
POLITICAL ECONOMY
PUPIL-TEACHER RATIOS
EDUCATION MANAGEMENT
Asim, Salman
Chimombo, Joseph
Chugunov, Dmitry
Gera, Ravinder
Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment
geographic_facet Africa
Malawi
relation Policy Research Working Paper;No. 8253
description There are severe geographical disparities in pupil-teacher ratios (PTR) across Malawi, with most teachers concentrated near commercial centers and in rural schools with better amenities. Most of the variation in PTR is concentrated in small sub-district areas, suggesting a central role for micro-geographic factors in teacher distribution. Employing administrative data from several government sources, regression analysis reveals that school-level factors identified by teachers as desirable are closely associated with PTR, including access to roads, electricity, and water, and distance to the nearest trading center, suggesting a central role for teachers' interests in PTR variation. Political economy network mapping reveals that teachers leverage informal networks and political patronage to resist placement in remote schools, while administrative officials are unable to stand up to these formal and informal pressures, in part because of a lack of reliable databases and objective criteria for the allocation of teachers. This study curates a systematic database of the physical placement of all teachers in Malawi and links it with data on school facilities and geo-spatial coordinates of commercial centers. The study develops a consistent and objective measure of school remoteness, which can be applied to develop policies to create rules for equitable deployments and targeting of incentives. Growing awareness of disparities in PTRs among district education officials is already showing promising improvements in targeting of new teachers. Simulation results of planned policy applications show significant potential impacts of fiscally-neutral approaches to targeted deployments of new cohorts, as well as retention of teachers through data-calibrated incentives.
format Working Paper
author Asim, Salman
Chimombo, Joseph
Chugunov, Dmitry
Gera, Ravinder
author_facet Asim, Salman
Chimombo, Joseph
Chugunov, Dmitry
Gera, Ravinder
author_sort Asim, Salman
title Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment
title_short Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment
title_full Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment
title_fullStr Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment
title_full_unstemmed Moving Teachers to Malawi's Remote Communities : A Data-Driven Approach to Teacher Deployment
title_sort moving teachers to malawi's remote communities : a data-driven approach to teacher deployment
publisher World Bank, Washington, DC
publishDate 2017
url http://documents.worldbank.org/curated/en/286131511361864175/Moving-teachers-to-Malawis-remote-communities-a-data-driven-approach-to-teacher-deployment
http://hdl.handle.net/10986/28914
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